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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey.

PURPOSE: The purposes of the study was to describe the degree of agreement between geriatricians wit...

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of ...

A survey of label-noise deep learning for medical image analysis.

Several factors are associated with the success of deep learning. One of the most important reasons ...

Inherent Bias in Large Language Models: A Random Sampling Analysis.

There are mounting concerns regarding inherent bias, safety, and tendency toward misinformation of l...

HARNet in deep learning approach-a systematic survey.

A comprehensive examination of human action recognition (HAR) methodologies situated at the converge...

Predicting attitudes toward ambiguity using natural language processing on free descriptions for open-ended question measurements.

Individual traits and reactions to ambiguity differ and are conceptualized in terms of an individual...

Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care.

New developments in machine learning-based analysis of speech can be hypothesized to facilitate the ...

Artificial intelligence chatbots and large language models in dental education: Worldwide survey of educators.

INTRODUCTION: Interest is growing in the potential of artificial intelligence (AI) chatbots and larg...

Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study.

With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. ...

Understanding Bias in Artificial Intelligence: A Practice Perspective.

In the fall of 2021, several experts in this space delivered a Webinar hosted by the American Societ...

Semantic segmentation dataset of Land Use/Cover Area frame Survey (LUCAS) rural landscape Street View Images.

Urban focused semantically segmented datasets (e.g. ADE20k or CoCo) have been crucial in boosting re...

Evaluation of Large Language Model Performance and Reliability for Citations and References in Scholarly Writing: Cross-Disciplinary Study.

BACKGROUND: Large language models (LLMs) have gained prominence since the release of ChatGPT in late...

Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set.

In human-human and human-robot interaction, the counterpart influences the human's affective state. ...

DBDNMF: A Dual Branch Deep Neural Matrix Factorization method for drug response prediction.

Anti-cancer response of cell lines to drugs is in urgent need for individualized precision medical d...

TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification.

In clinical settings, the implementation of deep neural networks is impeded by the prevalent problem...

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust.

The first step toward investigating the effectiveness of a treatment via a randomized trial is to sp...

Creating a Bot-tleneck for malicious AI: Psychological methods for bot detection.

The standard approach for detecting and preventing bots from doing harm online involves CAPTCHAs. Ho...

Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.

The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus...

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